Publication detail

Design of Microwave Antennas: Neural Network Approach to Time Domain Modeling of V-Dipole

LUKEŠ, Z., RAIDA, Z.

Original Title

Design of Microwave Antennas: Neural Network Approach to Time Domain Modeling of V-Dipole

English Title

Design of Microwave Antennas: Neural Network Approach to Time Domain Modeling of V-Dipole

Type

conference paper

Language

en

Original Abstract

The paper deals with the analysis of a wire V-dipole by Time-Domain Method of Moments (TD-MoM) and with approximating full-wave results by an artificial neural network. In the first part, the numerical analysis of a wire V-dipole is described and implemented in MATLAB. The numerical solution is compared with published results. In the second part, the numerical model of a wire V-dipole is used as a teacher of an artificial neural network (ANN) from the Neural Network Toolbox of Matlab. The input patterns of ANN consist of doublets [the length of the antenna arm; the angle between the arms]. The output targets of ANN are corresponding current responses in the source cell. For modeling, three different types of ANN are used and their properties are compared.

English abstract

The paper deals with the analysis of a wire V-dipole by Time-Domain Method of Moments (TD-MoM) and with approximating full-wave results by an artificial neural network. In the first part, the numerical analysis of a wire V-dipole is described and implemented in MATLAB. The numerical solution is compared with published results. In the second part, the numerical model of a wire V-dipole is used as a teacher of an artificial neural network (ANN) from the Neural Network Toolbox of Matlab. The input patterns of ANN consist of doublets [the length of the antenna arm; the angle between the arms]. The output targets of ANN are corresponding current responses in the source cell. For modeling, three different types of ANN are used and their properties are compared.

RIV year

2003

Released

29.09.2003

Publisher

Polytecnico di Torino

Location

Geda Grafica&Stampa Nichelino (Torino) Italy

ISBN

88-8202-008-8

Book

Proceedings of of the International Conference on Electromagnetics in Advanced Applications ICEAA 03

Edition

Neuveden

Edition number

1

Pages from

7

Pages to

10

Pages count

4

BibTex


@inproceedings{BUT8147,
  author="Zbyněk {Lukeš} and Zbyněk {Raida}",
  title="Design of Microwave Antennas: Neural Network Approach to Time Domain Modeling of V-Dipole",
  annote="The paper deals with the analysis of a wire V-dipole by Time-Domain Method of Moments (TD-MoM) and with approximating full-wave results by an artificial neural network.
In the first part, the numerical analysis of a wire V-dipole is described and implemented in MATLAB. The numerical solution is compared with published results.
In the second part, the numerical model of a wire V-dipole is used as a teacher of an artificial neural network (ANN) from the Neural Network Toolbox of Matlab. The input patterns of ANN consist of doublets [the length of the antenna arm; the angle between the arms]. The output targets of ANN are corresponding current responses in the source cell. For modeling, three different types of ANN are used and their properties are compared. 
",
  address="Polytecnico di Torino",
  booktitle="Proceedings of of the International Conference on Electromagnetics in Advanced Applications ICEAA 03",
  chapter="8147",
  edition="Neuveden",
  institution="Polytecnico di Torino",
  year="2003",
  month="september",
  pages="7",
  publisher="Polytecnico di Torino",
  type="conference paper"
}